Evidence map›Paper›PMID 27083954›Full record

Observational studyThe Journal of surgical research2016

Trajectory subtypes after injury and patient-centered outcomes.

Ben L Zarzaur, Teresa Bell

Abstract readObservational Study
In one paragraph

Observational study in The Journal of surgical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Observational
  6. Psychological risk factors that characterize the trajectories of quality of life after a physical trauma: a longitudinal study using latent class analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Resiliency and quality of life trajectories after injury.The journal of trauma and acute care surgery · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ben L ZarzaurDepartment of Surgery, Center for Outcomes Research in Surgery, Indiana University School of Medicine, Indianapolis, Indiana. Electronic address: bzarzaur@iupui.edu.
Teresa BellDepartment of Surgery, Center for Outcomes Research in Surgery, Indiana University School of Medicine, Indianapolis, Indiana.

Funding

Socioeconomic Status and Post-Injury Quality of Life and Functional AbilityK23GM084427 · NIGMS · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI ZARZAUR, BEN L · 2008 to 2012
$641k
NIGMS NIH HHS K23 GM084427NIGMS NIH HHS K23GM084427
6 · The paper itself

Abstract

backgroundThe recent focus on patient-centered outcomes highlights the need to better describe recovery trajectories after injury. The purpose of this study was to characterize recovery trajectory subtypes that exist after non-neurologic injury. MATERIALS AND

methodsA prospective, observational cohort of 500 adults with an Injury Severity Score > 10 but without traumatic brain or spinal cord injury from 2009 to 2011 was formed. The Short Form-36 was administered at admission and repeated at 1, 2, 4, and 12 mo after injury. Group-based trajectory modeling was used to determine the number and shape of physical composite score (PCS) and mental composite score (MCS) trajectories.

resultsThree PCS trajectories and five MCS trajectories were identified. For PCS, trajectory 1 (10.4%) has low baseline scores, followed by no improvement over time. Trajectory 2 (65.6%) declines 1 mo after injury then improves over time. Trajectory 3 (24.1%) has a sharp decline followed by rapid recovery. For MCS, trajectory 1 (9.4%) is low at baseline and remains low. Trajectory 2 (14.4%) has a large decrease after injury and does not recover over the next 12 mo. Trajectory 3 (22.7%) has an initial decrease in MCS early, followed by continuous recovery. Trajectory 4 (19.1%) has a steady decline over the study period. Trajectory 5 (34.3%) stays consistently high at all time points.

conclusionsRecovery after injury is complex and results in multiple recovery trajectories. This has implications for patient-centered clinical trial design and in development of patient-specific interventions to improve outcomes.

Indexed as

Quality of LifeRecovery of FunctionAdolescentAdultAgedAged, 80 and overFemaleHealth SurveysHumansInjury Severity ScoreLongitudinal StudiesMaleMiddle AgedOutcome Assessment, Health CareProspective StudiesWounds and InjuriesInjuryQuality of lifeRecovery trajectoriesTrauma

Identifiers

PMID27083954
PMCPMC4834145

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.